Sr MTS - Software Development (Cloud AI Network Security Developer )

6 - 11 years

30 - 35 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Architect, design, and implement Python/Go-based cloud microservices for network and security control plane.
Lead development of next-generation firewall services policy enforcement, rule optimization, and AI-assisted event triage.
Design and operationalize LLM integrations for:
o Policy generation and intent translation (natural language firewall rules)
o Incident summarization and contextual analysis
o AI-assisted troubleshooting and documentation

Build streaming data pipelines to process large-scale flow logs, IDS/IPS alerts, and cloud telemetry in real time (Kafka, Flink, Pub/Sub, Kinesis).
Develop AI/ML inference services for anomaly detection, threat scoring, and risk classification.
Ensure secure service communication, policy compliance, and zero-trust alignment.
Mentor junior engineers and guide design/code reviews.
Collaborate with data scientists, AI engineers, and cloud networking teams to deliver production-grade features.

Required Skills

Bachelor s or Master s degree in Computer Science, Cybersecurity, or related field.
6+ years of software development experience, with strong proficiency in Python/Go (Golang).
Deep understanding of cloud networking (VPC/VNet design, routing, gateways, load balancers, overlays).

Hands-on experience with firewall and security technologies:
o Policy engines and rule orchestration
o Deep Packet Inspection (DPI) and application-layer filtering
o NGFW/IDS/IPS systems
o Cloud-native firewalls (AWS Network Firewall, Azure Firewall, GCP Cloud Armor)
Strong knowledge of data engineering pipelines real-time stream processing, event correlation, and log enrichment.

Proven experience with AI/ML integration serving ML models via REST/gRPC, integrating LLMs for workflow automation, or building AI copilots for security.
Solid experience in Kubernetes, microservices architecture, and observability systems (Prometheus, ELK, Grafana).
Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks).

Nice to Have

Experience in LLM application design (RAG, LangChain, vector databases).
Expertise with network telemetry analytics and visualization systems.
Contributions to open-source network security or AI frameworks.
Knowledge of distributed systems scaling, resilient cloud design, and multi-cloud policy federation.
Certifications such as AWS Security Specialty, GCP Cloud Security Engineer, CISSP, or CKA.

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